Create app.py

app.py

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+import gradio as gr
+import os
+import tempfile
+from openai import OpenAI
+
+# Set an environment variable for key
+os.environ['OPENAI_API_KEY'] = os.environ.get('OPENAI_API_KEY')
+
+client = OpenAI() # add api_key
+
+def tts(text, model, voice):
+    response = client.audio.speech.create(
+        model=model, #"tts-1","tts-1-hd"
+        voice=voice, #'alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer'
+        input=text,
+    )
+
+    # Create a temp file to save the audio
+    with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_file:
+        temp_file.write(response.content)
+
+    # Get the file path of the temp file
+    temp_file_path = temp_file.name
+
+    return temp_file_path
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("# <center> OpenAI Text-To-Speech API with Gradio </center>")
+    gr.HTML("You can also access the Streaming demo for OpenAI TTS by clicking this <a href='https://huggingface.co/spaces/ysharma/OpenAI_TTS_Streaming'>Gradio demo link</a>")
+    with gr.Row():
+      model = gr.Dropdown(choices=['tts-1','tts-1-hd'], label='Model', value='tts-1')
+      voice = gr.Dropdown(choices=['alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer'], label='Voice Options', value='alloy')
+
+    text = gr.Textbox(label="Input text", placeholder="Input text and press the Text-To-Speech button or press Enter.")
+    btn = gr.Button("Text-To-Speech")
+    output_audio = gr.Audio(label="Speech Output")
+    
+    text.submit(fn=tts, inputs=[text, model, voice], outputs=output_audio, api_name="tts", concurrency_limit=None)
+    btn.click(fn=tts, inputs=[text, model, voice], outputs=output_audio, api_name="tts", concurrency_limit=None)
+
+demo.launch(auth=("cutie", "softpaws"))